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Manuel Mühlig , "Task learning of bimanual object handling", TU Ilmenau, 2008.
AbstractThe focus of this work lies on providing the humanoid robot ASIMO with the ability to learn new bi-manual tasks through the observation of object trajectories. For this, an imitation learning framework is presented which allows the robot to learn the essence of an observed movement task by application of probabilistic encoding with Gaussian Mixture Models. The learned information is used to initialize an attractor-based movement generation algori...
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Volker Willert, Jens Schmüdderich, Julian Eggert, Christian Goerick, Edgar Körner , "Probabilistic Optical Flow Estimation for Large Pixel Displacements Utilizing Egomotion Flow Compensation", British Machine Vision Conference 2008, pp. 695-704, 2008.
AbstractThe pixel movements in an image sequence grabbed by a camera that is mounted on a mobile platform comprise the superposition of several motion components. These motion components are caused by the egomotion of the camera and by the different movements of the objects seen by the camera. Utilizing sensory information from a calibrated stereo rig and egomotion measurements of the mobile platform we develop a probabilistic framework that estimates op...
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Ingo Paenke , "Dynamics of evolution and learning", University of Karlsruhe, 2008.
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Christian Igel and Bernhard Sendhoff , "Genesis of organic computing systems: Coupling evolution and learning", Organic Computing, pp. 141–166, 2008.
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Andreas Knoblauch , "Symbols and embodiment from the perspective of a neural modeller.", Symbols and Embodiment: Debates on Meaning and Cognition., Oxford University Press, pp. 117–143, 2008.
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Andreas Knoblauch, Friedrich Sommer, Marc-Oliver Gewaltig, Rüdiger Kupper, Ursula Körner, Edgar Körner , "On the collective computational abilities of inhibitory neurons.", Proceedings of the 5th Computational and Systems Neuroscience Meeting (COSYNE), pp. 160, 2008.
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Alexander Denecke, Heiko Wersing, Jochen Steil, Edgar Körner , "Robust object segmentation by adaptive metrics in Generalized LVQ", Proceedings of the European Symposium on Artificial Neural Networks (ESANN), pp. 319–324, 2008.
AbstractWe investigate the effect of several adaptive metrics in the context of figure-ground segregation, using Generalized LVQ to train a classifier for image regions. Extending the Euclidean metrics towards local matrices of relevance-factors does not only lead to a higher classification accuracy and increased robustness on heterogeneous/noisy data, but also figureground segregation using this adaptive metrics enables a considerably higher recognition...
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Alexander Gepperth, Jannik Fritsch, Christian Goerick , "Cross-module learning as a first step towards a cognitive system concept", Proceedings of the First International Conference on Cognitive Systems, 2008.
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Stephan Kirstein, Heiko Wersing, Edgar Körner , "A biologically motivated visual memory architecture for online learning of objects", Neural Networks, vol. 21, no. 1, pp. 65–77, 2008.
AbstractWe present a biologically motivated architecture for object recognition that is based on a hierarchical feature-detection model in combination with a memory architecture that implements short-term and long-term memory for objects. A particular focus is the functional realization of online and incremental learning for the task of appearance-based object recognition of many complex-shaped objects. We propose some modifications of learning vector qu...
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Sven Rebhan, Waqas Sharif, Julian Eggert , "Incremental Learning in the Non-negative Matrix Factorization", Proceedings of the 15th International Conference on Neural Information Processing, pp. 960-969, 2008.
AbstractThe non-negative matrix factorization (NMF) is capable of factorizing strictly positive data into strictly positive activations and base vectors. In its standard form, the input data must be presented as a batch of data. This means the NMF is only able to represent the input space contained in this batch of data whereas it is not able to adapt to changes afterwards. In this paper we propose a method to overcome this limitation and to enable the N...
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